Abstract :
The increasing popularity of social interactions and geotagged, user-generated content has transformed the television viewing experience from laid-back video watching behavior into a "lean-forward"\´ socially engaged experience. This article describes a multiscreen, social TV system integrated with social sense via a second screen as a novel paradigm for content consumption. This new application is built upon the authors\´ cloud-centric media platform, which provides on-demand virtual machines for content platform services, including media distribution, storage, and processing. The media platform is also integrated with a Big Data social platform that crawls and mines social data related to the media content. Specifically, this new social TV approach consists of three key subsystems: interactive TV, social sense, and multiscreen orchestration. Interactive TV implements a cloud-based, social TV system, offering rich social features; social sense discovers the geolocation-aware public perception and knowledge related to the media content; and multiscreen orchestration provides an intuitive and user-friendly human-computer interface to combine the two other subsystems, fusing the TV viewing experience with social perception. The authors have built a proof-of-concept demo over a private cloud at the Nanyang Technological University (NTU), Singapore. Feature verification and performance comparisons demonstrate the feasibility and effectiveness of the proposed approach in transforming the TV viewing experience.
Keywords :
Big Data; cloud computing; digital television; geographic information systems; human computer interaction; interactive television; virtual machines; Big Data social platform; NTU; Nanyang Technological University; TV viewing experience; cloud-centric media platform; content consumption; content platform services; feature verification; geolocation-aware public perception; geolocation-aware social sense; geotagged content; interactive TV; laid-back video watching behavior; lean-forward socially engaged experience; media content; media distribution; multiscreen orchestration; multiscreen social TV; on-demand virtual machine; performance comparison; private cloud; proof-of-concept demo; social TV approach; social TV system; social data; social interaction; social perception; television viewing experience; user-friendly human-computer interface; user-generated content; Cloning; Context; Media; Performance evaluation; Social network services; TV; Virtual machining; cloud computing; interactive TV; multimedia; social TV; social media analysis; social sense;